Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Vestnik Tomskogo gos...arrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
addClaim

This Research product is the result of merged Research products in OpenAIRE.

You have already added 0 works in your ORCID record related to the merged Research product.

Сравнение МПИ ММ-оценок длительности мертвого времени в обобщенном асинхронном потоке событий

Сравнение МПИ ММ-оценок длительности мертвого времени в обобщенном асинхронном потоке событий

Abstract

Generalized asynchronous flow of events which intensity is piecewise constant stochastic process X(t) with two states X 1 and X 2 (X 1 > X 2) and unprolonging dead time is considered. During the time interval when X(t) = X, Poisson flow of events takes place with the intensity X, i = 1,2. Transition from the first state of process X(t) into the second one (from the second state into the first one) is carried out at any moment of time. The sojourn time in the i-th state is exponentially distributed with parameter a, i = 1,2. The process of transition X(t) from the first state into the second one initiates with probability p (0

Изучается обобщенный асинхронный поток событий, являющийся одной из адекватных математических моделей информационных потоков заявок в цифровых сетях интегрального обслуживания (ЦСИО). Поток функционирует в условиях непродлевающегося мертвого времени, когда длительность мертвого времени неизвестная фиксированная величина. Проводится сравнение качества получаемых (по наблюдениям за моментами наступления событий потока) оценок длительности мертвого времени методом максимального правдоподобия (МП-оценки) и методом моментов (ММ-оценки).

Keywords

ОБОБЩЕННЫЙ АСИНХРОННЫЙ ПОТОК СОБЫТИЙ, НЕПРОДЛЕ-ВАЮЩЕЕСЯ МЕРТВОЕ ВРЕМЯ, МП-ОЦЕНКИ, ММОЦЕНКИ, ДЛИТЕЛЬНОСТЬ МЕРТВОГО ВРЕМЕНИ

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
gold